Update README.md

README.md

@@ -18,16 +18,15 @@ size_categories:
 
 <table style="width:100%;height:100%">
   <!--tr style="width:100%;height:30px">
-
   <td colspan=2 align=center>
     <h1>Kišobran (Umbrella corp.)</h1>
   </td>
   <tr-->
   <tr style="width:100%;height:100%">
     <td width=50%>
-      <h2><span class="highlight-container"><b class="highlight">Kišobran</b></span> - krovni veb korpus srpskog i srpskohrvatskog jezika</h2>
+      <h2><span class="highlight-container"><b class="highlight">Kišobran korpus</b></span> - krovni veb korpus srpskog i srpskohrvatskog jezika</h2>
       <p>Najveća agregacija veb korpusa do sada, neophodna za obučavanje velikih jezičkih modela za srpski jezik.</p>
-      <p>Ukupno x dokumenata, ukupno sa <span class="highlight-container"><span class="highlight">preko 20 milijardi reči</span></span>.</p>
+      <p>Ukupno x dokumenata, ukupno sa <span class="highlight-container"><span class="highlight">preko 18.5 milijardi reči</span></span>.</p>
       <p></p>
       <p>Svaka linija predstavlja novi dokument</p>
       <p>Rečenice unutar dokumenata su obeležene.</p>    
@@ -39,7 +38,7 @@ size_categories:
     <td>
       <h2><span class="highlight-container"><b class="highlight">Umbrella corp.</b></span> - umbrella web corpus of Serbian and Serbo-Croatian</h2>
       <p>The largest aggregation of web corpora so far, necessary for training Serbian large language models.</p>
-      <p>A total of x documents containing <span class="highlight-container"><span class="highlight">over 20 billion words</span></span>.</p>
+      <p>A total of x documents containing <span class="highlight-container"><span class="highlight">over 18.5 billion words</span></span>.</p>
       <p></p>
       <p>Each line represents a document.</p>
       <p>Each Sentence in a document is delimited.</p>
@@ -108,9 +107,11 @@ Citation:
   <tr style="width:100%;height:100%">
     <td width=50%>
        <p>Истраживање jе спроведено уз подршку Фонда за науку Републике Србиjе, #7276, Text Embeddings – Serbian Language Applications – TESLA.</p>
+     <p>Računarske resursre neophodne za deduplikaciju korpusa obezbedila je Nacionalna platforma za veštačku inteligenciju Srbije.</p>
     </td>
     <td>
       <p>This research was supported by the Science Fund of the Republic of Serbia, #7276, Text Embeddings - Serbian Language Applications - TESLA.</p>
+      <p>Computer resources necessary for the deduplication of the corpus were provided by the National Platform for Artificial Intelligence of Serbia.</p>
     </td>
   </tr>
 </table>